• DocumentCode
    3065486
  • Title

    Planning metering systems for power distribution systems monitoring

  • Author

    De Souza, Julio C Stacchini ; Filho, M.B.D.C. ; Meza, Edwin M. ; Schilling, Marcus Th

  • Author_Institution
    Dept. of Electr. Eng., Fluminense Fed. Univ., Rio de Janeiro, Brazil
  • Volume
    2
  • fYear
    2003
  • fDate
    23-26 June 2003
  • Abstract
    This work presents an optimal meter placement methodology for real-time power distribution systems monitoring. The proposed methodology is flexible and enables to take into account aspects such as: different network configurations, use of pseudomeasurements, already existent meters and remote terminal units, among others. The Genetic algorithms technique is employed to achieve a trade-off between investment costs and real-time monitoring capability.
  • Keywords
    computerised monitoring; costing; genetic algorithms; power distribution control; power distribution planning; power system measurement; power system state estimation; distribution systems automation; genetic algorithms technique; investment costs; optimal meter placement methodology; planning metering systems; power distribution systems; pseudomeasurements; real-time systems monitoring; remote terminal units; state estimation; Automatic control; Control systems; Costs; Power distribution; Power system planning; Power system reliability; Real time systems; Remote monitoring; State estimation; Substation automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Conference Proceedings, 2003 IEEE Bologna
  • Print_ISBN
    0-7803-7967-5
  • Type

    conf

  • DOI
    10.1109/PTC.2003.1304632
  • Filename
    1304632